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children. Mechanistic modelling of disease transmission involves the use of computer code to represent the epidemic dynamics of infectious disease spread within the community. This allows modellers
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. At least one degree should be geodesy/surveying, mathematics, physics, engineering or related course. Additionally, the applicant should preferably have experience in: research and programming skills in
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theoretical simulations, this project will use these data to answer fundamental scientific questions about the population, mass distribution, and evolution of black holes. It will address a community-identified
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four years. Scholarship Details Maximum number awarded 2 Eligible courses Any HDR students wishing to study in the engineering/mathematics field. Eligibility criteria Local and international students
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Group (HSRG) situated in the School of Electrical Engineering, Computing and Mathematical Sciences (EECMS) at Curtin University, which is equipped with an array of world-class research equipment and
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courses Any HDR student willing to use mathematical modelling and simulation in engineering and physical problems. Eligibility criteria Strong mathematical background Strong analytic abilities Experience in
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systems and uncover insights that can be applied to design more robust and interpretable deep learning systems. Aims This project is designed to unravel the intricate learning dynamics and the nature
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conducted. Second, the project will use a task analysis methodology (Sharbanee et al., 2019; Greenberg, 2007) to create a sequential model of the process that couples go through to resolve imbalances in